Aide Health

NHS Problem:

There are 26 million people in the UK living with one or more long-term conditions. These numbers increase every year. This rising human and economic cost represents 70% of all primary and acute care spending in the NHS every year, 50% of hospital bed days and half of GP time. Management of long-term conditions is one of the main challenges facing governments and healthcare systems worldwide. 

Comorbidity, people living with two or more concurrent conditions, presents a greater challenge still. It is associated with higher mortality, reduced functional status and increased use of inpatient and ambulatory care. 


Aide is a digital health service that helps patients and clinicians better understand and manage long-term conditions. 

Using natural language, Aide has short, daily conversations with patients to help them adhere to their medicines, capture structured monitoring and improve their levels of health literacy. 

Our focus is on the missing piece of healthcare delivery: comorbidity. Today, Aide supports people with asthma, type 2 diabetes and hypertension (Q3 ’23) and we are working to cater to the top-10 long-term conditions in one single platform. 


Aide launched a pilot in North Yorkshire in May ‘22 at a research-active practice within NHS England. The study included those aged 18-75+ living with asthma or type 2 diabetes. 

The results showed: 

  • Active users achieved an average adherence rate of 75%, significantly greater than the 40-50% average adherence assumption of medicines in general 
  • At the start of the pilot, Aide discovered 41% of people stopped taking their medicine when they felt their condition was under control, something that may not have been uncovered through traditional patient-clinician interaction. 
  • 33% stated that they were previously not confident what to do if their condition changes 
  • 70% of people in the study continued to use Aide every day after the first month 
  • Medical adherence in the most improved patient in the over 70s went from 45-50% to 100% over the span of three and a half months  
  • The average patient completed 2-5 conversation flows per day, including logging of medicines and recording of measurements through natural language, enabling live data to be shared with their clinician 
  • It takes 15 seconds on average for the majority of users to report a symptom